Results 111 to 120 of about 174,228,126 (292)

Empirical Measures and Strong Laws of Large Numbers in Categorical Probability [PDF]

Logical Methods in Computer Science
The Glivenko--Cantelli theorem is a uniform version of the strong law of large numbers. It states that for every IID sequence of random variables, the empirical measure converges to the underlying distribution (in the sense of uniform convergence of the ...
Tobias Fritz, Tomáš Gonda, Antonio Lorenzin, Paolo Perrone, Areeb Shah Mohammed   +4 more
doaj   +1 more source

Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators

Advanced Engineering Materials, EarlyView.
Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel, Prashant K. Purohit, Jordan R. Raney   +2 more
wiley   +1 more source

Impact of the Process Atmosphere During Hot Isostatic Pressing on the Near‐Surface Composition of an Additively Manufactured Austenitic High‐Interstitial Steel

Advanced Engineering Materials, EarlyView.
A high interstital austenitic steel is additively manufactured and postdensified by HIP to eliminate gas porosity. Thereby, the loss of N and Mn in Ar HIP atmosphere is investigated. Further, HIP using N2 atmosphere is investigated which led to excessive nitride formation.
F. Großwendt, J. Hahn, J. Kimm, S. Weber, J. Lentz   +4 more
wiley   +1 more source

Electrodeposition in Structural Lattices of Variable Architectures

Advanced Engineering Materials, EarlyView.
Electrodeposition enables geometry‐sensitive, autonomous void filling while simultaneously tuning chemical and mechanical properties. The development of approaches that can autonomously fill and heal material voids and yield composites with tailorable properties is increasingly relevant in engineering.
Yeong‐Man Kwon, Jingwen Zhang, Guido Musso, Alessandro F. Rotta Loria   +3 more
wiley   +1 more source

Strong Law of Large Numbers for Countable Markov Chains Indexed by an Infinite Tree with Uniformly Bounded Degree

Journal of Applied Mathematics, 2014
We study the strong law of large numbers for the frequencies of occurrence of states and ordered couples of states for countable Markov chains indexed by an infinite tree with uniformly bounded degree, which extends the corresponding results of countable
Bao Wang, Weiguo Yang, Zhiyan Shi, Qingpei Zang   +3 more
doaj   +1 more source

Impact of Hydrogen Incorporation on Electronic and Magnetic Structure of X2CrNi18‐9 Stainless Steel

Advanced Engineering Materials, EarlyView.
Hydrogen uptake in austenitic stainless steel alters both its electronic and magnetic structure. Seebeck measurements reveal hydrogen‐induced shifts in the electronic density of states, while neutron scattering uncovers nanoscale inhomogeneities that grow upon hydrogen incorporation, with the most pronounced effect observed in the PBF as‐built state ...
Torben Tappe, Louis Becker, Gaurav Kanu, Thomas F. Headen, Dirk Honecker, Gabi Schierning, Santiago Benito, Sebastian Weber, Klara Lünser, Sabrina Disch   +9 more
wiley   +1 more source

MARCINKIEWICZ-TYPE STRONG LAW OF LARGE NUMBERS FOR DOUBLE ARRAYS OF NEGATIVELY DEPENDENT RANDOM VARIABLES [PDF]

Journal of Sciences, Islamic Republic of Iran, 2002
In the following work we present a proof for the strong law of large numbers for pairwise negatively dependent random variables which relaxes the usual assumption of pairwise independence.
doaj  

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

A STRONG LAW OF LARGE NUMBERS FOR MARTINGALES

, 2010
[[abstract]]We derive a moment inequality for the Skorohod representation theorem and apply it to obtain a strong law of large numbers for martingales[[fileno]]2010218010002[[department ...
SHEU, SS;YAO, YS
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